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New Technology of Library and Information Service  2010, Vol. 26 Issue (2): 50-55    DOI: 10.11925/infotech.1003-3513.2010.02.09
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Study of Semantic Retrieval System Model Based on Folksonomy in P2P Networks>
Dou Yongxiang   Su Shanjia   Yang Meijiao   Chen Lixia
(School of Economics and Management,Xidian University,Xi’an 710071, China)
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In P2P network,the management mechanism of users’ community and resources’ community, and semantic retrieval system model based on folksonomy are put forward in this paper. The functions of every module and the retrieval process in the system are described in detail, and two kinds of resource searching method are also discussed.

Key wordsFolksonomy      Peer to peer networks      Semantic retrieval     
Received: 21 January 2010      Published: 25 February 2010


Corresponding Authors: Su Shanjia     E-mail:
About author:: Dou Yongxiang,Su Shanjia,Yang Meijiao,Chen Lixia

Cite this article:

Dou Yongxiang,Su Shanjia,Yang Meijiao,Chen Lixia. Study of Semantic Retrieval System Model Based on Folksonomy in P2P Networks>. New Technology of Library and Information Service, 2010, 26(2): 50-55.

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[1] SWAP:Semantic Web and Peer-to-Peer[EB/OL].[2009-06-21].
[2] Sripanidkulchai K, Maggs B, Zhang H. Effieient Content Location Using Interest-based Locality in Peer-to-Peer Systems[C]. In: Proceedings of the IEEE INFOCOM 2003. IEEE Press,2003:2166-2176.
[3] Crespo A, Garcia-Molina H. Semantic Overlay Networks for P2P Systems[R]. Stanford University, 2003.
[4] Szekely B, Torres E. Ranking Bookmarks and Bistros: Intelligent Community and Folksonomy Development[EB/OL].[2009-09-22].
[5] Hotho A, Jaschke R, Schmitz C, et al. Information Retrieval in Folksonomies: Search and Ranking[EB/OL].[2009-06-22].http://www.kde.cs.
[6] Al-Khalifa H S, Davis H C. Folksonomy Versus Autionmatic Keywaord Extraction: An Empirical Study[EB/OL].[2009-04-15].
[7]Damme C V, Hepp M, Siorpaes K. FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies[C]. In: Proceedings of the Workshop Bridging the Gap Between Semantic Web and Web 2.0,Innsbruck, Austria.2007:57-70.
[8]Hotho A, Jschke R, Schmitz C, et al. Information Retrieval in Folksonomies: Search and Ranking[C]. In: Proceedings of the 3rd European Semantic Web Conference.2006:411-426.
[9]Diederich J,Iofciu T. Finding Communities of Practice from User Profiles Based on Folksonomies[C].In: Proceedings of the 1st International Workshop on Building Technology Enhanced Learning Solutions for Communities of Practice,2006.
[10]Zhang G F, Qu Z Y, Guo A D. Using Folksonomies to Improve Peer-to-Peer Knowledge Sharing Information[C].In:Proceedings of the 2008 International Symposiums on Information Processing.2008:280-285.
[11] Wikipedia.The Free Encyclopedia[EB/OL]. [2009-09-23].
[12]Passant A. Using Ontologies to Strengthen Folksonomies and Enrich Information Retrieval in Weblogs[C]. In: Proceedings of the International Conference on Web Logs and Social Media.2007.
[14] 窦永香,苏山佳,赵捧未.基于Porter算法的英文标签聚类方法研究[J].现代图书情报技术,2009(9):40-44.

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